JP6182867B2 - Vibration intensity measuring apparatus and control method thereof - Google Patents

Description

  The present invention relates to a vibration intensity measuring device that measures the intensity of vibration and a control method thereof.

  Conventionally, seismometers for control have been used as devices for controlling various systems according to the intensity of earthquakes and preventing the spread of damage and the occurrence of secondary disasters. This control seismometer measures the intensity of vibration using a measure of seismic intensity, called spectrum intensity (hereinafter referred to as SI value), which has a high correlation with damage (damage) of structures. A device that outputs a control signal such as a discrimination signal has been proposed (JP 2001-42049 A).

  When earthquake motion occurs, the temporal change in acceleration y (t) is observed as shown in FIG. At this time, the temporal change of the velocity value v (t) and the maximum velocity value Sv (t) of a certain structure is as shown in FIG. The maximum speed value Sv (t) is the maximum value of the speed value v (t) generated up to that time. Further, the spectrum distribution of the maximum velocity value Sv (t) with respect to the natural period T at such a time of vibration is as shown in FIG. 24C, and an average value of this distribution is obtained (that is, a hatched line in the figure). By dividing the partial area by the integration interval), the SI value at that time can be obtained. The natural period T is determined by the size of the structure and the like, and it is known that the main structure has a natural period T within the range of the integration interval (0.1 to 2.5). .

  The waveform shown in FIG. 25 is a waveform obtained by plotting time series data of vibration acceleration y (t) detected by the acceleration detector. In the figure, RR represents the measurement start time, SS represents the earthquake occurrence time, and EE represents the earthquake convergence time. This time-series data is sampled at a very short cycle (for example, 10 milliseconds) and stored in a memory (RAM). In order to obtain the SI value from the time series data in almost real time, the time series data of the acceleration y (t) obtained so far is read from the memory when the predetermined time Tp has elapsed from the time RR. First, the velocity value v (t) for each natural period T is converted into a velocity value v (t) (the following equation 1), and then the maximum velocity value Sv (t) (the following equation 2) for each natural cycle T is obtained. The value (Equation 3 below) is calculated. Thereafter, when a predetermined time Δtp elapses, time series data from time (R + Δtp) to time (R + Tp + Δtp) is read from the memory and the same calculation is performed. Hereinafter, the SI value is calculated every time Δtp elapses.

In these equations, t [s] is the current time, τ is the integration period (time), T is the natural period of the structure, h is the damping constant of the structure, and ω is the natural angular frequency (ω = 2π / T [rad / s]), ωd is the damped natural angular frequency (ωd = ω × (1-h ² ) ^1/2 [rad / s]).

JP 2001-42049 A

  Conventional measurement methods of vibration intensity are constantly subjected to a calculation load (processing load) in order to always obtain a highly accurate calculation result from the occurrence of an earthquake to the convergence. For this reason, the amount of power consumed according to the calculation load also increases.

  On the other hand, information to be acquired as information on vibration characteristics such as earthquakes is required to detect the occurrence of an earthquake, detect whether the magnitude of the earthquake exceeds the danger level, and calculate the maximum SI value of the earthquake. However, for example, in a situation where an earthquake is in the process of convergence, it is considered that high-precision arithmetic processing similar to that immediately after the occurrence of the earthquake is unnecessary.

  The present invention has been made to solve the above-described problems, and can perform high-precision arithmetic processing and reduce power consumption by executing more efficient arithmetic processing. An object of the present invention is to provide a vibration intensity measuring apparatus and a control method therefor.

  A control method of a vibration intensity measuring device according to an aspect of the present invention includes a step of acquiring acceleration data by an acceleration detector, and a step of measuring vibration intensity based on the acquired acceleration data, and the step of acquiring and measuring At least one of the step of determining whether or not the vibration characteristics from the occurrence of vibration to the convergence thereof satisfy a predetermined condition, and the acquisition process in the step of acquiring when it is determined that the predetermined condition is satisfied; Adjusting at least one of the calculation processes in the measuring step.

  Preferably, the acceleration detector generates acceleration data according to a variable sampling interval, and the step of adjusting adjusts the sampling interval to be longer when it is determined that a predetermined condition is satisfied.

  Preferably, the acceleration detecting unit sequentially stores and acquires acceleration data in the memory, and the step of acquiring and adjusting collectively the acceleration data stored in the memory according to a variable communication interval is a predetermined condition. If it is determined that the condition is satisfied, the communication interval is set longer.

  Preferably, the step of measuring the vibration intensity includes a step of calculating a speed value in each natural period based on the acquired acceleration data, and a step of calculating a maximum speed value based on the calculated speed value in each natural period; The step of adjusting includes reducing the number of speed values in each natural period when the maximum speed value is calculated when it is determined that the predetermined condition is satisfied.

  Preferably, the step of measuring the vibration intensity includes a step of calculating a speed value based on the acquired acceleration data, a step of calculating a maximum speed value based on the calculated speed value, and a vibration based on the maximum speed value. The step of adjusting includes a step of calculating an index indicating the strength, and the step of adjusting sets the calculation interval of at least one of the speed value and the index indicating the vibration strength longer when it is determined that the predetermined condition is satisfied.

  Preferably, the step of measuring the vibration intensity includes a step of calculating a speed value based on the acquired acceleration data, a step of calculating a maximum speed value based on the calculated speed value, and a vibration based on the maximum speed value. The step of adjusting includes a step of calculating an index indicating intensity, and changes a maximum speed measurement interval that is a timing for resetting the maximum speed value when it is determined that a predetermined condition is satisfied.

  Preferably, the acceleration detection unit generates acceleration data for each of a plurality of axes, and the step of measuring the vibration intensity includes a step of calculating a speed value based on the acquired acceleration data, and a maximum based on the calculated speed value. A step of calculating a velocity value and a step of calculating an index indicating a vibration intensity based on the maximum velocity value, wherein the adjusting step includes accelerations for a plurality of axes with respect to acceleration data acquired when it is determined that a predetermined condition is satisfied. Synthesize the data.

  Preferably, the acceleration detection unit generates acceleration data for each of a plurality of axes, and the step of measuring the vibration intensity includes a step of calculating a speed value based on the acquired acceleration data, and a maximum based on the calculated speed value. A step of calculating a speed value and a step of calculating an index indicating a vibration intensity based on the maximum speed value, and the adjusting step includes a plurality of steps in the step of calculating the speed value when it is determined that a predetermined condition is satisfied. Synthesizes velocity values based on the acceleration data for each axis.

  According to another aspect of the present invention, there is provided a method for controlling a vibration intensity measuring device including an acceleration detector for a plurality of axes, the step of acquiring acceleration data of each axis by the acceleration detector, and the acquired acceleration data of each axis Measuring vibration intensity based on the step of measuring the vibration intensity, combining the acquired acceleration data of each axis, calculating a velocity value based on the combined acceleration data, The method includes a step of calculating a maximum speed value based on the calculated speed value, and a step of calculating an index indicating the vibration intensity based on the maximum speed value.

  A method for controlling a vibration intensity measuring device including an acceleration detection unit for a plurality of axes according to still another aspect of the present invention, the step of acquiring acceleration data of each axis by the acceleration detection unit, and the acquired acceleration data of each axis Measuring the vibration intensity based on the step, the step of measuring the vibration intensity, calculating the velocity value of each axis based on the acquired acceleration data of each axis, and the calculated velocity of each axis Synthesizing values, calculating a maximum speed value based on the combined speed value, and calculating an index indicating vibration intensity based on the maximum speed value.

  A vibration intensity measurement device according to an aspect of the present invention is a vibration intensity measurement device including an acceleration detection unit, and includes a controller connected to the acceleration detection unit. The controller acquires and acquires acceleration data from the acceleration detection unit. Vibration characteristics are measured based on the acceleration data, and at least one of an acquisition process for acquiring acceleration data and a calculation process for measuring the vibration intensity, It is determined whether or not a predetermined condition is satisfied, and when it is determined that the predetermined condition is satisfied, at least one of an acceleration data acquisition process and a calculation process for measuring vibration intensity is adjusted.

  It is possible to reduce power consumption by executing highly accurate arithmetic processing and executing more efficient arithmetic processing.

It is a schematic block diagram of the vibration strength measuring apparatus 1 according to this Embodiment. It is a flowchart explaining an example of the outline | summary of the flow of a process of the vibration intensity measuring device 1 according to this Embodiment. It is a figure explaining the flow of the acquisition process of the arithmetic processing part 30 according to this Embodiment. It is a figure explaining the flow of the arithmetic processing of the arithmetic processing part 30 according to this Embodiment. It is a figure explaining the general flow of the determination process of this Embodiment. It is a figure explaining the predetermined conditions used by the determination process of this Embodiment. It is a figure explaining the flow of the determination process of the arithmetic processing part 30 according to this Embodiment. It is a figure explaining the adjustment of the parameter in the operation mode of the sensor part 10 according to this Embodiment. It is a figure explaining adjustment of a parameter of communication processing between sensor part 10 and operation processing part 30 according to this embodiment. It is a figure explaining the adjustment of the number of natural periodic velocities in the arithmetic processing of the arithmetic processing unit 30 according to the present embodiment. It is a figure explaining the preservation | save system of the maximum speed value according to this Embodiment. It is a figure explaining adjustment of the measurement interval of the maximum speed value in the arithmetic processing of arithmetic processing part 30 according to this embodiment. It is a figure explaining the adjustment of the calculation space | interval in the arithmetic processing of the arithmetic processing part 30 according to this Embodiment. It is a figure explaining the specific example of the table of the adjustment process of the vibration strength measuring apparatus according to this Embodiment. It is an example figure which adjusts the parameter of sensor part 10 and operation processing part 30 according to the table of Drawing 14. It is another figure which adjusts the parameter of the sensor part 10 and the arithmetic processing part 30 according to the table of FIG. It is a figure explaining predetermined conditions (trigger conditions). It is a figure explaining the setting of the range of another natural period. It is a figure explaining the system which calculates SI value based on the curve of the maximum speed value Sv and the natural period T. FIG. It is a figure explaining the concept of the arithmetic processing which calculates SI value based on the acceleration data of the conventional multiple axes as a comparative example. It is a figure explaining the example of vector decomposition. It is a figure explaining the concept of the arithmetic processing which calculates SI value based on the acceleration data of multiple axes according to this modification 6. It is a figure explaining the concept of the arithmetic processing which calculates SI value based on the acceleration data of multiple axes according to another example of this modification 6. It is a figure explaining the time change etc. of the acceleration y (t) observed when the earthquake motion generate | occur | produced. It is a figure explaining the arithmetic processing based on the time series data of acceleration y (t).

  The present embodiment will be described below with reference to the drawings. In the description of the embodiments, when the number and amount are referred to, the scope of the present invention is not necessarily limited to the number and amount unless otherwise specified. In the description of the embodiments, the same parts and corresponding parts are denoted by the same reference numerals, and redundant description may not be repeated. Unless there is a restriction | limiting in particular, it is planned from the beginning to use suitably combining the structure shown to the structure shown to embodiment.

(1. Overall configuration)
FIG. 1 is a schematic configuration diagram of a vibration intensity measuring apparatus 1 according to the present embodiment.

  Referring to FIG. 1, vibration intensity measuring device 1 according to the present embodiment includes a sensor unit 10, an arithmetic processing unit 30, a power supply unit 4, and a secondary battery 2.

  The sensor unit 10 includes an acceleration sensor 12, a sensor I / F 14, a memory 16, a sensor control unit 18, and a communication I / F 20.

  The acceleration sensor 12 is a semiconductor acceleration sensor that can measure three axes (X, Y, and Z axes) and outputs a detection signal (acceleration detection signal) in response to vibration. An acceleration sensor such as a capacitance type, a piezoresistive type, a piezoelectric type, or a gas temperature distribution type can be employed. In this example, an acceleration sensor capable of measuring three axes will be described. However, the present invention is not limited to three axes, and may be one axis, two axes, or a configuration capable of detecting multiple axes (three axes or more). Also good.

  The sensor I / F 14 is a sensor interface that samples a detection signal output from the acceleration sensor 12 every Δt and outputs acceleration data (A / D conversion), and stores acceleration data in the memory 16. To do.

  The sensor control unit 18 is a part that controls the entire sensor unit 10, and in this example, in accordance with an instruction from the arithmetic processing unit 30, a sampling interval of a detection signal that is an output of the acceleration sensor 12 (hereinafter also referred to as a sampling interval). ) Can be adjusted (variable).

  The communication I / F 20 is an interface for exchanging communication with the arithmetic processing unit 30.

  In this example, the sensor control unit 18 instructs the memory 16 to transmit acceleration data stored in the memory 16 to the arithmetic processing unit 30 via the communication I / F 20. It is assumed that the communication interval for transmitting data from the sensor unit 10 to the arithmetic processing unit 30 can be adjusted according to an instruction from the arithmetic processing unit 30.

  The sensor control unit 18 receives input of control data from the arithmetic processing unit 30 via the communication I / F 20. As will be described later, in this example, various parameter adjustment processes in the sensor unit 10 are executed in accordance with parameter adjustment instructions from the arithmetic processing unit 30. Specifically, parameters relating to acquisition of acceleration detection signals in the sensor I / F 14 are adjusted according to control data from the arithmetic processing unit 30. Specifically, the sampling interval for sampling the acceleration detection signal is adjusted. Further, parameters related to the communication processing for the arithmetic processing unit 30 of the acceleration data via the communication I / F 20 are adjusted according to the control data from the arithmetic processing unit 30. Specifically, the communication interval of acceleration data is adjusted.

  The arithmetic processing unit 30 receives a real time clock (RTC) 32, a memory 34, and various data as timekeeping means, and performs central processing for calculating characteristic values of various vibrations and outputting discrimination signals in digital (binary) format. A control unit 40 such as a device (CPU), a digital output interface DOIF 36 that outputs a discrimination signal to the outside, a digital input interface DIIF 38 to which an external control signal is input, and a communication I / F 50 are included. Each unit is assumed to be connected to the control unit 40.

  The memory 34 stores programs for realizing various functions executed by the control unit 40, and functions such as arithmetic processing described later are realized by reading the programs. The memory 34 can also be used as a working area for storing the calculation result of the control unit 40 and the like.

  The control unit 40 in this example includes an SI value calculation unit 42 that calculates an SI value that is one measure of the intensity of seismic motion realized by executing a program, a speed calculation unit 46 that calculates a speed, and a maximum speed. And a maximum speed calculation unit 44 that calculates Further, although not shown in the figure, functions necessary for controlling other vibration intensity measuring devices 1 are realized. In this example, a vibration intensity measuring device for measuring earthquake vibration will be described. However, the present invention is not limited to earthquake vibration, and can be similarly applied to various vibration measurements.

  The communication I / F 50 is an interface for exchanging communication with the sensor unit 10. In this example, the control unit 40 can transmit and receive control data to and from the sensor unit 10 via the communication I / F 50.

  The control unit 40 can receive input of acceleration data transmitted from the sensor unit 10 via the communication I / F 50 and execute predetermined calculation processing.

  In addition, the vibration intensity measuring device 1 includes a power supply unit 4 that receives supply of power from the secondary battery 2, and the power supply unit 4 supplies a voltage necessary for driving the sensor unit 10 and the arithmetic processing unit 30. . In this example, the case where the power supply unit 4 operates by receiving power from the secondary battery 2 will be described. However, the present invention is not limited to this case, and operates by receiving power from an external power source. It is good also as a structure. Of course, a configuration using a primary battery or the like is not limited to a secondary battery.

  The digital input interface (DIIF) 38 is connected to an external equipment device and receives an input from the equipment device.

  The digital output interface (DOIF) 36 is connected to an external equipment device and instructs the equipment device to operate. In this example, as an example, the case where the vibration intensity measuring device 1 is provided in the gas supply system and the emergency shutoff valve is controlled according to the signal output from the vibration intensity measuring device 1 to stop the gas supply will be described. To do. In addition, there are various ways of using the vibration intensity measuring device 1, and it is not particularly applied only to the gas supply system, but can be applied to various systems. Moreover, in this example, since it is comprised so that it may drive with a secondary battery, attachment is easy and a use application is various.

(2. Process flow)
(2.1 Overall overview)
FIG. 2 is a flowchart for explaining an example of the outline of the processing flow of vibration intensity measuring apparatus 1 according to the present embodiment.

With reference to FIG. 2, the flow of processing of the sensor unit 10 will be described first.
First, the sensor unit 10 is assumed to be in the standby mode (step S2). It is assumed that the sensor unit 10 is set in a low power consumption standby mode in the initial state. When it is determined that an earthquake has occurred, the operation mode is assumed to be entered. Specifically, in this example, the sensor I / F 14 samples the detection signal (acceleration detection signal) that is the output of the acceleration sensor 12 at a long sampling interval in the standby mode. And the process which stores acceleration data in the memory 16 is performed.

  Next, the sensor unit 10 determines whether or not the acceleration data stored in the memory 16 exceeds a threshold value (step S4). The threshold value is set to a value that is highly likely to be an earthquake when the threshold value is exceeded. Specifically, the sensor control unit 18 compares the acceleration data stored in the memory 16 with data serving as a threshold, and determines whether the acceleration data exceeds the threshold.

  Next, in step S4, when the sensor unit 10 determines that the acceleration data exceeds the threshold value (YES in step S4), the process proceeds to step S6.

  On the other hand, when the sensor unit 10 determines in step S4 that the acceleration data does not exceed the threshold value (NO in step S4), the process returns to step S2. For acceleration data that does not exceed the threshold value, it is determined that it is the influence of noise or disturbance, and the standby mode is maintained.

  Next, in step S6, the sensor unit 10 outputs an activation signal. Specifically, the sensor control unit 18 outputs (notifies) an activation signal to the arithmetic processing unit 30 via the communication I / F 20.

  Next, the sensor unit 10 shifts to an operation mode (step S8). Specifically, the operation mode is shifted from the standby mode. In this operation mode, the detection signal that is the output of the acceleration sensor 12 is sampled at a short sampling interval. And the process which stores acceleration data in the memory 16 is performed.

  Next, the sensor unit 10 determines whether or not the processing is completed (step S10). Specifically, the sensor control unit 18 determines whether or not the processing is completed according to the acceleration data stored in the memory 16, that is, whether or not the earthquake motion has converged. For example, the determination may be made according to whether or not the acceleration data is below a threshold value.

  If the sensor unit 10 determines in step S10 that the process has not ended (NO in step S10), the process returns to step S8 and maintains the operation mode of step S8.

  On the other hand, if the sensor unit 10 determines in step S10 that the process has been completed (YES in step S10), the process returns to step S2, shifts to the standby mode, and returns to the initial initial state.

Next, the processing flow of the arithmetic processing unit 30 will be described.
First, the arithmetic processing unit 30 receives an activation signal output from the sensor unit 10 (step S12).

  And the arithmetic processing part 30 starts according to the received starting signal, and performs an acquisition process first (step S14). Specifically, the acceleration data transmitted from the sensor unit 10 is acquired by communicating with the sensor unit 10. Details of the acquisition process will be described later.

  Next, the arithmetic processing unit 30 performs arithmetic processing based on the acquired data (step S16). Details of the arithmetic processing will be described later.

  Next, the arithmetic processing unit 30 determines whether or not the processing is completed (step S18). Specifically, it is determined whether or not the SI value calculation processing for all acquired acceleration data has been completed.

  If the arithmetic processing unit 30 determines in step S18 that the processing has been completed (YES in step S18), the arithmetic processing unit 30 stores the arithmetic result in the memory (step S20). As an example, the calculation result stored in the memory at this time may be output to a higher-level system management device or the like.

  Then, the process ends (END). That is, it is assumed that the activation is finished and the mode is shifted to the power saving mode. Power consumption can be reduced by this processing.

  On the other hand, if the arithmetic processing unit 30 determines in step S18 that the processing has not ended (NO in step S18), the arithmetic processing unit 30 returns to step S14 and repeats the above acquisition processing and arithmetic processing.

(2.2 Acquisition process)
Next, the acquisition process in step S14 of FIG. 2 will be described.

  FIG. 3 is a diagram illustrating an acquisition process flow of arithmetic processing unit 30 according to the present embodiment. The processing is mainly processing in the control unit 40.

  Referring to FIG. 3, first, it is determined whether or not the communication interval s has elapsed (step S30). Step S30 is maintained until the communication interval s has elapsed. The calculation of the period can be measured according to the clock from the RTC 32. The same applies to other periods. Note that it is not essential to use the clock of the RTC 32 for the calculation of the period, and the measurement may be performed using other means.

  If it is determined in step S30 that the communication interval s has elapsed (YES in step S30), the communication is performed with the sensor unit 10 to obtain acceleration data (step S32). The acquired acceleration data is stored in the memory 34.

  Then, acceleration determination processing is executed for the acquired acceleration data (step S34). Specifically, it is determined whether or not a predetermined condition is satisfied for the acceleration data. The determination process will be described later. In this example, the case where the acceleration determination process is executed after acquiring the acceleration data is described. However, the determination process is not necessarily executed, and the process is terminated after the acceleration data is acquired. May be.

Then, the process ends (return).
(2.3 Arithmetic processing)
Next, the calculation process in step S16 of FIG. 2 will be described.

  FIG. 4 is a diagram illustrating a flow of arithmetic processing of arithmetic processing unit 30 according to the present embodiment. This process is a process mainly executed by the speed calculation unit 46, the maximum speed calculation unit 44, and the SI value calculation unit 42 of the control unit 40.

  Referring to FIG. 4, a speed calculation process for calculating a speed value based on the acceleration data is executed (step S40). The calculation process is executed by the speed calculation unit 46 of the control unit 40. As a speed calculation method, for example, it can be obtained by an integration method based on Equation (1).

  Next, a speed determination process for determining the calculated speed value is executed (step S41). Specifically, it is determined whether or not a predetermined condition is satisfied for the calculated speed value. The determination process will be described later. In this example, the case where the speed determination process is executed after the speed value is calculated is described. However, it is not always necessary to execute the determination process. After the speed value is calculated, the determination process is skipped. You may do it.

  Next, a maximum speed calculation process for calculating a maximum speed value based on the calculated speed value is executed (step S42). The calculation process is executed by the maximum speed calculation unit 44 of the control unit 40. As a method for calculating the maximum speed value, for example, Equation (2) can be used.

  Next, a maximum speed determination process for determining the calculated maximum speed value is executed (step S43). Specifically, it is determined whether or not a predetermined condition is satisfied for the calculated maximum speed value. The determination process will be described later. In this example, the case where the maximum speed determination process is executed after the maximum speed value is calculated is described. However, the determination process is not necessarily executed. After the maximum speed value is calculated, the determination process is performed. May be skipped.

  Next, SI value calculation processing for calculating the SI value based on the maximum speed value is executed (step S44). The calculation process is executed by the SI value calculation unit 42 of the control unit 40. As a method for calculating the SI value, for example, Equation (3) can be used.

  Next, SI value determination processing for determining the calculated SI value is executed (step S45). Specifically, it is determined whether or not the calculated SI value satisfies a predetermined condition. The determination process will be described later. In this example, the SI value determination process is executed after the SI value is calculated. However, the determination process is not necessarily executed. After the SI value is calculated, the determination process is skipped. Then, the processing may be terminated.

Then, the process ends (return).
(2.4 Judgment process)
Next, the determination process in FIGS. 3 and 4 will be described.

FIG. 5 is a diagram for explaining a general flow of determination processing according to the present embodiment.
Referring to FIG. 5, it is determined whether or not a predetermined condition is satisfied, for example, whether or not a trigger that is a predetermined condition is exceeded (step S <b> 46).

  If it is determined in step S46 that the trigger has been exceeded (YES in step S46), the parameter is adjusted (step S47). As an example, parameters used in an acquisition process for acquiring acceleration data or an arithmetic process such as an SI value are adjusted. Here, the case of adjusting the parameters is described as an example, but the present invention is not limited to the parameters, and the calculation processing method, the correction method, and the like may be adjusted (changed).

  Next, a discrimination signal is output (step S48). Specifically, a determination signal indicating that the trigger has been exceeded is output. Note that the output of the determination signal is not essential, and can be output as necessary.

Then, the process ends (return).
In the determination process, it is determined whether or not predetermined conditions are satisfied for various values such as acceleration, speed value, maximum speed value, and SI value. This determination processing is described as an example in the flowcharts of FIGS. 3 and 4 described above, but as described above, this determination processing does not necessarily have to be passed. For example, in FIG. 4, a combination in which the determination process in step S41 is performed but the determination process in step S43 is not performed may be used.

  In this example, the SI value determination process and the maximum speed determination process will be mainly described among the determination processes.

FIG. 6 is a diagram for explaining predetermined conditions used in the determination process of the present embodiment.
With reference to FIG. 6 (A), here, SI values calculated by the arithmetic processing unit 30 over time are shown. The vertical axis indicates the SI value, and the horizontal axis indicates time t.

  In this example, as an example of the predetermined condition used in the SI value determination process, a threshold value Tr1 is provided as the SI value threshold value. In other words, in the present embodiment, the operation mode is switched between when the SI value is equal to or less than the threshold value Tr1 and when the SI value exceeds the threshold value Tr1.

  In this example, the threshold value Tr1 is used for discrimination when the gas supply system is stopped by controlling the emergency shutoff valve of the gas supply system, for example, when the vibration intensity measuring device 1 is arranged in the gas supply system. Shall be. That is, the threshold value Tr1 is used as a threshold value for detecting whether or not the magnitude of the earthquake exceeds the danger level. When an SI value exceeding the threshold value Tr1 is detected, an urgent discrimination signal is output from the vibration intensity measuring device 1 to the emergency shutoff valve. Then, the emergency shutoff valve receives the signal and stops the gas supply.

  As an example of another predetermined condition, a threshold value Tr2 is provided as a threshold value for a period in which the SI value is not updated. In other words, in the present embodiment, the operation mode is switched between the case where the period during which the SI value is not updated is equal to or less than the threshold Tr2, and the case where the period during which the SI value is not updated exceeds Tr2.

  In this example, it is assumed that the threshold value Tr2 is used as a determination condition when the earthquake motion converges, for example.

  With reference to FIG. 6B, here, the maximum speed value calculated by the arithmetic processing unit 30 is shown as time passes. The vertical axis represents the maximum speed value Sv, and the horizontal axis represents time t.

  Further, as an example of the predetermined condition used in the maximum speed determination process, a threshold value Tr3 is provided as a threshold value for a period during which the maximum speed value Sv is not updated. In other words, in the present embodiment, the operation mode is switched between the case where the maximum speed value Sv is not updated during the threshold Tr3 or less and the case where the maximum speed value Sv is not updated exceeds the threshold Tr3. .

  In this example, it is assumed that the threshold value Tr3 is used as a determination condition when the earthquake motion converges, for example, similarly to the threshold value Tr2.

  FIG. 7 is a diagram illustrating a flow of determination processing of arithmetic processing unit 30 according to the present embodiment. The processing is mainly processing in the control unit 40.

With reference to FIG. 7A, here, a flow of maximum speed determination processing is shown.
First, it is determined whether or not the threshold value Tr3 is exceeded as a threshold value for a period during which the maximum speed value Sv is not updated (step S60).

  If it is determined in step S60 that the maximum speed value Sv has exceeded the threshold value Tr3 of the period during which the maximum speed value Sv is not updated, the parameter is adjusted (step S62). The parameter adjustment will be described later.

  On the other hand, if it is determined in step S60 that the maximum speed value Sv does not exceed the threshold value Tr3 of the period in which the maximum speed value Sv is not updated, step S60 is skipped and the process ends (return).

With reference to FIG. 7B, here, a flow of SI value determination processing is shown.
First, it is determined whether or not the SI value exceeds the threshold value Tr1 (step S50).

  If it is determined in step S50 that the SI value has exceeded the threshold value Tr1, the parameter is adjusted (step S52). The parameter adjustment will be described later.

  Next, a determination signal is output (step S53). Specifically, the emergency cutoff valve is controlled to output a determination signal for stopping the gas supply. For example, it is assumed that the determination signal is output from the control unit 40 via the DOIF 36. In this example, the case where the process of step S53 is executed has been described, but the determination signal may not be output depending on the system.

  On the other hand, if it is determined in step S50 that the SI value does not exceed the threshold value Tr1, the above steps S52 and S53 are skipped and the process proceeds to step S54.

  Next, it is determined whether or not the threshold value Tr2 has been exceeded as a threshold value for a period during which the SI value is not updated (step S54).

  If it is determined in step S54 that the threshold value Tr2 during which the SI value is not updated has been exceeded, the parameter is adjusted (step S56). The parameter adjustment will be described later.

  On the other hand, if it is determined in step S54 that the SI value does not exceed the threshold value Tr2 during which the SI value is not updated, step S56 is skipped and the process is terminated (return).

  In this example, the case where two predetermined conditions are provided as determination conditions has been described. However, the present invention is not particularly limited to this configuration, and any configuration that includes one of the predetermined conditions may be used. . Alternatively, it is also possible to provide a plurality of conditions.

  In the present example, the flow of the SI value determination process and the maximum speed determination process has been described mainly in the above determination process, but it is also determined whether the predetermined condition is satisfied in the other determination process flows as well. If so, adjust the parameters.

(3. Outline of parameter adjustment)
(3.1 Adjustment of sampling interval)
FIG. 8 is a diagram illustrating adjustment of parameters in the operation mode of the sensor unit 10 according to the present embodiment.

  With reference to FIG. 8, here, a case where the sampling process in the sensor unit 10 is adjusted is shown.

  In this example, (A) a waveform of ground motion, (B) a sampling interval, (C) a value of acceleration data, and (D) an SI value according to the passage of time are shown.

  First, at time t0, it is assumed that an earthquake motion occurs and the sensor unit 10 shifts from the standby mode to the operation mode. As an example, the sampling interval g when shifting to the operation mode is assumed to be g0 (0.01 s). That is, sampling is performed at a short sampling interval. Then, the acceleration data is stored in the memory 16.

  Further, it is assumed that the occurrence of an earthquake is detected and an activation signal is output to the arithmetic processing unit 30. As a result, the arithmetic processing unit 30 is activated. The arithmetic processing unit 30 acquires acceleration data as described above, executes arithmetic processing, and repeats the processing. The SI value is calculated by arithmetic processing.

  Next, the case where the SI value calculated by the arithmetic processing unit 30 exceeds the threshold value Tr1 at time t1 is shown. That is, in the determination process described above, it is determined that the SI value has exceeded the threshold value Tr1. Thereby, the parameter is adjusted. In this example, the arithmetic processing unit 30 instructs the sensor unit 10 to adjust parameters so as to adjust the sampling interval. Specifically, the sampling interval is instructed to be set to g1 (0.02 s).

  In accordance with the instruction, the acceleration detection signal is sampled according to the sampling interval g1 and the acceleration data is stored in the memory 16 in the period after time t1.

  When the SI value exceeds the threshold value Tr1, the determination signal is output to the emergency shut-off valve as described above. Thereby, supply of gas is stopped. Therefore, when the vibration intensity measuring device is used in the gas supply system, it is not necessary to further output urgent information after the determination signal is output (after the gas supply is stopped). Conceivable. In other words, since highly accurate measurement is not often required, low power consumption can be achieved by adjusting the sampling interval to reduce the calculation load.

  Next, with respect to the SI value calculated by the arithmetic processing unit 30, the case where the period Tr2 during which the SI value is not updated is exceeded at time t2. That is, in the determination process described above, it is determined that the period Tr2 during which the SI value is not updated has been exceeded. This adjusts the parameters. In this example, the arithmetic processing unit 30 instructs the sensor unit 10 to adjust parameters so as to adjust the sampling interval. Specifically, the sampling interval is instructed to be set to g2 (0.04 s).

  According to this instruction, the acceleration detection signal is sampled in accordance with the sampling interval g 2 and the acceleration data is stored in the memory 16 in the period after time t 2.

  When the period Tr2 in which the SI value is not updated is exceeded, it is considered that the earthquake motion converges as described above. Therefore, since highly accurate measurement is not required, it is possible to further reduce power consumption by adjusting the sampling interval to reduce the calculation load.

  Therefore, in this example, the sampling interval can be adjusted according to the situation of the earthquake motion. That is, instead of always applying the same computational load when earthquake motion is occurring, until the predetermined condition is satisfied after the earthquake motion occurs (until it is detected whether the magnitude of the earthquake exceeds the danger level) ) Performs high-accuracy measurements at short sampling intervals, and when specified conditions are met, the operation is reduced in power consumption by reducing the computational load by gradually increasing the sampling interval. It is possible to realize.

(3.2 Adjustment of communication interval)
FIG. 9 is a diagram illustrating adjustment of parameters of communication processing between the sensor unit 10 and the arithmetic processing unit 30 according to the present embodiment.

  Referring to FIG. 9, here, a case where the communication interval between the sensor unit 10 and the arithmetic processing unit 30 is adjusted is shown.

  In this example, (A) the value of acceleration data, (B) the communication interval, and (C) the SI value as time passes are shown.

  First, at time t0, it is assumed that an earthquake motion occurs and the sensor unit 10 shifts from the standby mode to the operation mode. It is assumed that the communication interval s when shifting to the operation mode is s0. That is, the communication interval of the acceleration data is executed with the arithmetic processing unit 30 at a high speed by shortening the communication interval.

  Further, it is assumed that the occurrence of an earthquake is detected and an activation signal is output to the arithmetic processing unit 30. As a result, the arithmetic processing unit 30 is activated. The arithmetic processing unit 30 acquires acceleration data as described above, executes arithmetic processing, and repeats the processing. The SI value is calculated by arithmetic processing.

  Next, a case where the SI value calculated by the arithmetic processing unit 30 exceeds the threshold value Tr1 at time t1 is shown. That is, in the determination process described above, it is determined that the SI value has exceeded the threshold value Tr1. Thereby, the parameter is adjusted. In this example, the arithmetic processing unit 30 instructs the sensor unit 10 to adjust parameters so as to adjust the communication interval. Specifically, the communication interval s is instructed to be set to s1 (> s0).

  In accordance with the instruction, in the period after time t1, acceleration data communication processing is executed with the arithmetic processing unit 30 in accordance with the communication interval s1.

  As described above, when the SI value exceeds the threshold value Tr1, the determination signal is output to the emergency cutoff valve as described above. Therefore, it is considered that there is no need to further output urgent information after the determination signal is output (after the gas supply is stopped). That is, since it is a situation where highly accurate measurement is not required, low power consumption can be achieved by adjusting the communication interval to reduce the communication load.

  Next, with respect to the SI value calculated by the arithmetic processing unit 30, the case where the period Tr2 during which the SI value is not updated is exceeded at time t2. That is, in the determination process described above, it is determined that the period Tr2 during which the SI value is not updated has been exceeded. This adjusts the parameters. In this example, the arithmetic processing unit 30 instructs the sensor unit 10 to adjust parameters so as to adjust the communication interval. Specifically, the communication interval s is instructed to be set to s2 (> s1).

  In accordance with the instruction, in the period after time t2, acceleration data communication processing is executed with the arithmetic processing unit 30 in accordance with the communication interval s2.

  When the period Tr2 in which the SI value is not updated is exceeded, it is considered that the earthquake motion converges as described above. Therefore, since highly accurate measurement is not required, it is possible to further reduce power consumption by adjusting the communication interval to suppress the communication load.

  Therefore, in this example, it is possible to adjust the communication interval of the communication process between the sensor unit 10 and the arithmetic processing unit 30 according to the situation of the earthquake motion. That is, instead of always applying the same communication load when earthquake motion is occurring, until the predetermined condition is satisfied after the earthquake motion occurs (until it is detected whether the magnitude of the earthquake exceeds the danger level) ) Executes information exchange at high-speed communication intervals, and, when a predetermined condition is satisfied, operates with low power consumption by reducing the communication load by gradually reducing the communication interval. Can be realized.

(3.3 Adjusting the number of natural periodic velocities)
FIG. 10 is a diagram illustrating adjustment of the number of natural periodic velocities in the arithmetic processing of arithmetic processing unit 30 according to the present embodiment.

Referring to FIG. 10A, here, the concept of arithmetic processing is described.
Specifically, the speed values v (T1) to v (Tn) according to the natural period T are calculated based on the acceleration data a, respectively, and the maximum based on the calculated speed values v (T1) to v (Tn). A case is shown in which the velocity values Sv (T1) to Sv (Tn) are calculated, and the SI value is calculated based on the maximum velocity values Sv (T1) to Sv (Tn).

  Referring to FIG. 10 (B), here, acceleration data and adjustment of arithmetic processing over time are schematically shown.

  First, at time t0, it is assumed that an earthquake motion occurs and the sensor unit 10 shifts from the standby mode to the operation mode. Then, the occurrence of an earthquake is detected and an activation signal is output to the arithmetic processing unit 30. As a result, the arithmetic processing unit 30 is activated. The arithmetic processing unit 30 acquires acceleration data as described above, executes arithmetic processing, and repeats the processing. The speed value v, the maximum speed value Sv, and the SI value are calculated by the arithmetic processing.

  Here, in the calculation process of the maximum speed value, the case where the number n of natural period speeds to be calculated is set to n0 (10) in the initial state is shown. A maximum speed value is calculated from the number.

  Next, a case where the SI value calculated by the arithmetic processing unit 30 exceeds the threshold value Tr1 at time t1 is shown. That is, in the determination process described above, it is determined that the SI value has exceeded the threshold value Tr1. Thereby, the parameter is adjusted. In this example, the arithmetic processing unit 30 adjusts parameters for arithmetic processing. Specifically, in the period after time t1, the maximum speed value Sv is calculated by setting the number n of natural period speeds to be calculated to n1 (9).

  As described above, when the SI value exceeds the threshold value Tr1, the determination signal is output to the emergency cutoff valve as described above. Therefore, it is considered that there is no need to further output urgent information after the determination signal is output (after the gas supply is stopped). That is, since it is a situation where highly accurate measurement is not required, it is possible to reduce power consumption by adjusting the number of data to be used and suppressing the calculation load.

  Next, a case where the SI value calculated by the arithmetic processing unit 30 exceeds the period Tr2 in which the SI value is not updated at time t2 is shown. That is, in the determination process described above, it is determined that the period Tr2 during which the SI value is not updated has been exceeded. This adjusts the parameters. In this example, the arithmetic processing unit 30 adjusts parameters for arithmetic processing. Specifically, in the period after time t2, the maximum speed value is calculated by setting the number n of natural period velocities to be calculated to n2 (eight).

  When the period Tr2 in which the SI value is not updated is exceeded, it is considered that the earthquake motion converges as described above. Therefore, since highly accurate measurement is not often required, it is possible to further reduce power consumption by adjusting the number of data to be used and suppressing the calculation load.

  Therefore, in this example, it is possible to adjust the calculation load of the calculation processing in the calculation processing unit 30 according to the situation of the earthquake motion. That is, instead of always applying the same computational load when earthquake motion is occurring, until the predetermined condition is satisfied after the earthquake motion occurs (until it is detected whether the magnitude of the earthquake exceeds the danger level) ) Realizes low-power consumption operation by executing high-precision arithmetic processing and reducing the computational load by decreasing the number of data to be used step by step when a predetermined condition is satisfied. Is possible.

(3.4 Explanation of storage method of maximum speed value)
FIG. 11 is a diagram illustrating a method for storing the maximum speed value according to the present embodiment.

  Referring to FIG. 11, as a method for storing the maximum speed value, first, the speed value v calculated first is set as the maximum speed value Sv and stored. Thereafter, each time the speed value v is calculated, the absolute value is compared with the maximum speed value Sv, and if the speed value v updates the maximum speed value Sv based on the comparison result, the speed value v is updated. Then, the process is repeated. When it is determined that the earthquake has converged (for example, when the maximum speed value Sv exceeds the period Tr3 in which the earthquake is not updated), the maximum speed value Sv is stored as the maximum speed in the earthquake, that is, the maximum earthquake speed value SSv. Then, the maximum speed value is set to the initial value 0. Again, the calculated speed value v is set to the maximum speed value Sv, and thereafter, every time the speed value v is calculated, the absolute value and the maximum speed value Sv are compared, and the speed value v is determined based on the comparison result. If the maximum speed value Sv is updated, it is updated. Then, after the indefinite time has elapsed, the process is repeated.

  In this method, when it is determined that the earthquake has converged, the maximum speed value Sv can be saved as the earthquake maximum speed value SSv. Therefore, the earthquake maximum velocity value SSv can be stored and important information can be held. In addition, it is not necessary to store all speed values, and the maximum value is stored, so that the amount of memory can be reduced. Further, power consumption can be reduced as the amount of memory is reduced.

  In addition, after storing the earthquake maximum velocity value SSv, when the maximum velocity value Sv exceeds the earthquake maximum velocity value SSv, the earthquake maximum velocity value SSv can be updated.

(3.5 Adjustment of maximum speed value measurement interval)
FIG. 12 is a diagram illustrating adjustment of the maximum speed value measurement interval in the arithmetic processing of the arithmetic processing unit 30 according to the present embodiment.

  Referring to FIG. 12, here, a case where the interval at the time of measuring the maximum speed value in the arithmetic processing unit 30 is adjusted is shown.

  In this example, (A) speed value v, (B) maximum speed measurement interval, and (C) maximum speed value Sv are shown as time passes.

  First, at time t0, it is assumed that an earthquake motion occurs and the sensor unit 10 shifts from the standby mode to the operation mode. Then, the occurrence of an earthquake is detected and an activation signal is output to the arithmetic processing unit 30. As a result, the arithmetic processing unit 30 is activated. The arithmetic processing unit 30 acquires acceleration data as described above, executes arithmetic processing, and repeats the processing. A speed value v and a maximum speed value Sv are calculated by arithmetic processing.

  Here, in the calculation process of the maximum speed value, the case where the interval (section) R0 for measuring the maximum speed value is set in the initial state is shown. The maximum speed measurement interval: R is a timing for resetting the maximum speed, and the maximum speed value Sv is reset to the initial value 0 for each maximum speed measurement interval R. For example, as described above, R0 is set to the time until the period Tr3 is exceeded. Then, the speed value v is obtained from the acceleration data, the calculated speed value v is compared with the maximum speed value Sv, and if the speed value v has updated the maximum speed value Sv based on the comparison result, an update process is performed. Run.

  Next, a case where the maximum speed value calculated by the arithmetic processing unit 30 exceeds a period Tr3 in which the maximum speed value Sv is not updated at time t3 is shown. That is, in the determination process described above, it is determined that the period Tr3 during which the maximum speed value Sv is not updated has been exceeded. This adjusts the parameters. In this example, the arithmetic processing unit 30 adjusts parameters for arithmetic processing. Specifically, in the period after time t3, the interval for measuring the maximum speed value, that is, the section R is set to the section R1 (for example, 10 seconds). Further, since the period Tr3 is exceeded, that is, R0 has elapsed, the maximum speed Sv is reset to the initial value 0.

  Then, the speed value v is obtained again from the acceleration data, the calculated speed value v is compared with the maximum speed value Sv, and updated if the speed value v updates the maximum speed value Sv based on the comparison result. Execute the process. Then, when R1 (for example, 10 seconds) elapses, the maximum speed Sv is reset to the initial value 0. Then, the process is repeated.

  Therefore, in this example, it is possible to arbitrarily change the maximum speed measurement interval R, which is an interval for resetting the maximum speed value Sv, according to the situation of the ground motion.

  Note that the interval R for measuring the maximum velocity value may be a fixed value set in advance, or may be set in association with other calculation intervals such as acceleration, velocity, SI value, and the like.

(3.6 Adjustment of speed calculation interval and SI value calculation interval)
FIG. 13 is a diagram illustrating adjustment of the calculation interval in the calculation processing of the calculation processing unit 30 according to the present embodiment.

  In this example, (A) value of acceleration data, (B) speed calculation interval m, (C) speed value v, (D) maximum speed value Sv, (E) SI value calculation interval I, ( F) SI values are shown.

  First, at time t0, it is assumed that an earthquake motion occurs and the sensor unit 10 shifts from the standby mode to the operation mode. Then, the occurrence of an earthquake is detected and an activation signal is output to the arithmetic processing unit 30. As a result, the arithmetic processing unit 30 is activated. The arithmetic processing unit 30 acquires acceleration data as described above, executes arithmetic processing, and repeats the processing. The speed value v, the maximum speed value Sv, and the SI value are calculated by the arithmetic processing.

  Next, a case where the SI value calculated by the arithmetic processing unit 30 exceeds the threshold value Tr1 at time t1 is shown. That is, in the determination process described above, it is determined that the SI value has exceeded the threshold value Tr1. This adjusts the parameters. In this example, the arithmetic processing unit 30 adjusts parameters for arithmetic processing. Specifically, in a period after time t1, a speed calculation interval m that is an interval for calculating a speed value is set to m1 (> m0). In the period after time t1, the SI value calculation interval I, which is an interval for calculating the SI value, is set to I1 (> I0).

  According to the instruction, in the period after time t1, the calculation processing unit 30 executes a speed value calculation process according to the speed calculation interval m1. In accordance with the instruction, in the period after time t1, the calculation processing unit 30 executes speed value calculation processing in accordance with the SI value calculation interval I1.

  As described above, when the SI value exceeds the threshold value Tr1, the determination signal is output to the emergency cutoff valve as described above. Therefore, it is considered that there is no need to further output urgent information after the determination signal is output (after the gas supply is stopped). That is, since it is a situation where highly accurate measurement is not required, low power consumption can be achieved by adjusting the interval for calculating the speed value to suppress the calculation load.

  Next, a case where the maximum speed value Sv calculated by the arithmetic processing unit 30 exceeds a period Tr3 in which the maximum speed value Sv is not updated at time t3 is shown. That is, in the determination process described above, it is determined that the period Tr3 during which the maximum speed value Sv is not updated has been exceeded. This adjusts the parameters. In this example, the arithmetic processing unit 30 adjusts parameters for arithmetic processing. Specifically, in a period after time t3, a speed calculation interval m, which is an interval for calculating a speed value, is set to m2 (> m1). In the period after time t3, the SI value calculation interval I, which is an interval for calculating the SI value, is set to I2 (> I1).

  In accordance with the instruction, in the period after time t3, the calculation processing unit 30 executes a speed value calculation process in accordance with the speed calculation interval m2. Further, in the period after time t3 in accordance with the instruction, the calculation processing unit 30 executes speed value calculation processing in accordance with the SI value calculation interval I2.

  Therefore, in this example, it is possible to adjust the calculation load of the calculation processing in the calculation processing unit 30 according to the situation of the earthquake motion. That is, instead of always applying the same computational load when earthquake motion is occurring, until the predetermined condition is satisfied after the earthquake motion occurs (until it is detected whether the magnitude of the earthquake exceeds the danger level) ) Performs highly accurate arithmetic processing, and when a predetermined condition is satisfied, it is possible to realize a low power consumption operation by reducing the arithmetic load by increasing the arithmetic interval stepwise. is there.

(Concrete example)
FIG. 14 is a diagram illustrating a specific example of the adjustment processing table of the vibration intensity measurement device according to the present embodiment.

  FIG. 14A shows a condition table in which predetermined conditions (trigger conditions) are defined.

Specifically, SI = 11 is set as the threshold value Tr1 of the SI value.
As another predetermined condition, Tr3 = 10 s is set as a period Tr3 during which the maximum speed value Sv is not updated.

It is possible to execute the above determination conditions using the condition table.
FIG. 14B shows an adjustment parameter table for adjustment processing.

  Specifically, adjustment parameters relating to the sampling interval g, the communication interval s, the number n of each natural periodic velocity, the maximum velocity measurement interval R, the velocity calculation interval m, and the SI value calculation interval l are shown.

  As an initial state, the sampling interval g0 (0.01 s), the communication interval s0 (1 s), the number of natural frequency velocities n0 (7), the maximum speed measurement interval R0 (until the condition of Tr3 is satisfied), and the speed calculation interval m0 (1s), the adjustment parameter of the SI value calculation interval 10 (1s) is shown.

  Further, when the predetermined condition of the threshold value Tr1 is satisfied, the sampling interval g1 (0.02 s), the communication interval s1 (5 s), the number n1 (6) of each natural cycle speed, and the maximum speed measurement interval R0 (Tr3 conditions are set) Adjustment parameters to be adjusted to a speed calculation interval m1 (1 s) and an SI value calculation interval l1 (until the condition of Tr3 is satisfied) are shown.

  When the predetermined condition of the period Tr3 in which the maximum speed value Sv is not updated is satisfied, the sampling interval g2 (0.04 s), the communication interval s2 (10 s), the number n2 (5) of each natural period speed, and the maximum speed measurement Adjustment parameters to be adjusted to an interval R1 (10 s), a speed calculation interval m2 (10 s), and an SI value calculation interval l2 (until convergence) are shown.

  FIG. 15 is an example of adjusting the parameters of the sensor unit 10 and the arithmetic processing unit 30 according to the table of FIG.

  Referring to FIG. 15, in the initial state in which the earthquake motion occurred at time t0, the sampling interval g0 (0.01 s), the communication interval s0 (1 s), and the number of each natural periodic velocity according to the table of FIG. The case where n0 (7), maximum speed measurement interval R0 (until the condition of Tr3 is satisfied), speed calculation interval m0 (1 s), and SI value calculation interval 10 (1 s) is shown.

  When the threshold value Tr1 is exceeded at time t1, the sampling interval g1 (0.02 s), the communication interval s1 (5 s), and the number n1 (6) of each natural cycle speed according to the table of FIG. 14B. The maximum speed measurement interval R0 (until the condition of Tr3 is satisfied), the speed calculation interval m1 (5 s), and the SI value calculation interval l1 (until the condition of Tr3 is satisfied) are adjusted.

  Then, at time t3, when the maximum speed value Sv exceeds the non-updated period Tr3, according to the table of FIG. 14B, the sampling interval g2 (0.04 s), the communication interval s2 (10 s), and each natural period The speed is adjusted to n2 (5), maximum speed measurement interval R1 (10 s), speed calculation interval m2 (10 s), and SI value calculation interval l2 (until convergence).

  Therefore, in this example, it is possible to adjust various parameters according to the situation of earthquake motion. In other words, instead of always applying the same computation load and communication load when earthquake motion is occurring, detection of whether the magnitude of the earthquake exceeds the danger level after the occurrence of the earthquake motion until the predetermined condition is satisfied. Until the specified conditions are met, and if the specified conditions are met, it is possible to achieve low power consumption operation by gradually reducing the computation load and communication load. is there.

  FIG. 16 is another diagram for adjusting the parameters of the sensor unit 10 and the arithmetic processing unit 30 in accordance with the table of FIG.

Referring to FIG. 16, here, a case of ground vibration that does not exceed threshold tr1 is shown.
At the time t0, in the initial state where the earthquake motion occurs, the sampling interval g0 (0.01 s), the communication interval s0 (1 s), the number of natural period speeds n0 (7), the maximum speed according to the table of FIG. The case where the measurement interval R0 (until the condition of Tr3 is satisfied), the speed calculation interval m0 (1 s), and the SI value calculation interval 10 (1 s) are shown.

  When the maximum speed value Sv is not updated at time t3 and exceeds the period Tr3, the sampling interval g2 (0.02 s), the communication interval s2 (10 s), and each natural period according to the table of FIG. The speed is adjusted to n2 (5), maximum speed measurement interval R1 (10 s), speed calculation interval m2 (10 s), and SI value calculation interval l2 (until convergence).

  Accordingly, in this example as well, various parameters can be adjusted in accordance with the state of earthquake motion. In other words, instead of always applying the same computation load and communication load when seismic motion is occurring, the accuracy until the predetermined condition is satisfied after the seismic motion occurs (until the case where the ground vibration converges) is detected. When a high measurement or the like is performed and a predetermined condition is satisfied, it is possible to realize an operation with low power consumption by suppressing a calculation load and a communication load.

(Modification 1)
In the above, for example, as an example, when the SI value exceeds a threshold value Tr1 as a predetermined condition, when the SI value exceeds a period Tr2 that is not updated, or when the maximum speed value Sv exceeds a period Tr3 that is not updated, etc. However, the present invention is not limited to this case, and various predetermined conditions can be set and adjusted.

FIG. 17 is a diagram illustrating a predetermined condition (trigger condition).
Referring to FIG. 17, for example, regarding acceleration values, (1) a certain acceleration value, (2) an increase rate of acceleration, (3) time until exceeding a certain acceleration, (4) certain acceleration Duration when acceleration is exceeded, (5) Number of times a certain acceleration is exceeded, (6) Duration when certain acceleration is not exceeded, (7) Duration of acceleration from earthquake occurrence to convergence Can be used.

  Regarding the speed value, (8) a certain speed value, (9) the rate of increase in speed, (10) the time until it exceeds a certain speed, (11) continuation when it exceeds a certain speed It is possible to use the time, (12) the number of times that a certain speed has been exceeded, (13) the duration when the speed does not exceed a certain speed, and (14) the speed duration from the occurrence of the earthquake to convergence. is there.

  Regarding the maximum speed value, (15) a certain maximum speed value, (16) an increase rate of the maximum speed, (17) a time until the certain maximum speed is exceeded, and (18) a certain maximum speed. Duration when exceeded, (19) number of times a certain maximum speed has been exceeded, (20) duration when not exceeding a certain maximum speed, (21) time when maximum speed is not updated, (22) It is possible to use the number of times the maximum speed is not updated.

  In addition, regarding the SI value, (23) a certain SI value, (24) the rate of increase of the SI location, (25) time until exceeding a certain SI value, (26) exceeding a certain SI value Time duration, (27) number of times a certain SI value has been exceeded, (28) duration time when the certain SI value has not been exceeded, (29) time the SI value is not updated, (30) SI value It is possible to use the number of times that is not updated.

  In addition, regarding said predetermined condition, it is not restricted to an increase rate, For example, it is also possible to include a change rate in a predetermined condition. Further, the above is an example, and it is naturally possible to provide other conditions.

  Furthermore, as a predetermined condition, instead of determining whether one condition is satisfied, it may be determined whether a plurality of conditions are satisfied. For example, you may make it determine whether both conditions are satisfy | filled about an acceleration value and a speed value.

  It is also possible to combine a plurality of conditions. For example, after satisfying a certain condition A, it may be determined that the condition is satisfied when another condition B is satisfied, or when the condition A or B is satisfied, it is determined that the condition is satisfied You may do it. Alternatively, if the condition B is satisfied within a certain time after the condition A is satisfied, it may be determined that the condition is satisfied, or it may be determined that the condition is satisfied when the condition is not satisfied within a certain time. It is possible to execute highly accurate determination processing by appropriately combining the above conditions according to the characteristics of earthquake motion.

(Modification 2)
Next, a case where acceleration data acquired from the sensor unit 10 is stored in the memory 34 will be described.

  In an initial state in which earthquake motion has occurred, for example, acceleration data is stored in the memory 34 in units of 2 bytes. It is possible to store acceleration values up to -32768 to 328767 (gal).

  When the predetermined condition is satisfied, for example, when the period during which the SI value is not updated exceeds Tr2, or when the period during which the maximum speed value Sv is not updated exceeds the threshold value Tr3, the acceleration value is a small value. Therefore, the acceleration data is switched to be stored in the memory 34 in units of 1 byte. It is also possible to further reduce power consumption by changing the amount of data stored in the memory 34 according to the state of earthquake motion by this method. Further, when storing in the memory, it may be stored in the memory in a state where the resolution is increased by multiplying the acceleration value by a constant. For example, in the case of 10.5 (gal), 105 (gal), which is a value multiplied by 10 as a constant, may be stored in the memory. It is possible to reduce the load at the time of arithmetic processing while maintaining accuracy by the processing, thereby suppressing power consumption.

  It is also possible to perform correction calculation by adjusting the offset and gain for the acquired acceleration data before calculating the velocity from the acceleration. Then, the speed may be calculated based on the corrected acceleration data.

  Further, interpolation processing may be performed on the acceleration data before calculating the speed. As an example of the interpolation process, it is possible to take an average value of two adjacent data.

  Further, before calculating the velocity, the acceleration may be calculated as an integer. Alternatively, the calculation may be performed with a constant increased in resolution. It is also possible to calculate the speed after making it an integer. It is possible to reduce the calculation load by calculating to an integer.

  Further, when calculating the speed from the acceleration, the calculation load may be reduced by using a time integration method or a simple equal acceleration equation.

  Further, prior to calculating the maximum speed value, the priority order of the natural period speed to be selected may be determined. Further, it may be determined which natural period is selected based on the curve of the maximum speed value Sv and the natural period T at a certain time.

(Modification 3)
In the above description, the case where the natural period to be selected is set to the range of the period T = 0.1 to 2.5 has been described. Is also possible.

FIG. 18 is a diagram illustrating setting of another natural period range.
Referring to FIG. 18A, here, for example, a case where the natural periodic velocity is calculated in a range of T = 1 to 10 is shown (Formula 4).

Referring to FIG. 18B, here, the case of the general formula is shown (Formula 5).
In the case of high-rise buildings, it has been found that the peak of vibration appears in a long period after an earthquake occurs. Therefore, as a conventional method of obtaining the SI value, there is a possibility that the earthquake intensity cannot be measured correctly in the range of T = 0.1 to 2.5. Therefore, it is possible to measure the earthquake intensity with high accuracy corresponding to the high-rise building by shifting the natural period velocity to be calculated to the long period side.

(Modification 4)
FIG. 19 is a diagram illustrating a method for calculating the SI value based on the curve of the maximum speed value Sv and the natural period T.

  As shown in FIG. 19A, the calculation load can be reduced by calculating the SI value according to the trapezoidal rule.

  As shown in FIG. 19B, it is possible to reduce the calculation load by calculating the SI value according to rectangular approximation.

Of course, it is also possible to execute the calculation process after correcting the maximum speed value Sv.
(Modification 5)
You may make it measure the inclination at the time of installation of a seismic intensity measuring apparatus, and store the said measured value in the memory of a sensor part. It is also possible to correct the detected acceleration data using the measured inclination angle to obtain highly accurate acceleration data.

  Further, even when the sensor unit is inclined due to ground change or the like due to an earthquake, the inclination may be measured to correct the offset deviation.

  The timing for correcting the offset may be performed at the end of the convergence after the occurrence of the earthquake, or may be performed before the arithmetic processing unit enters the sleep state.

  When the vibration intensity measuring device falls, the presence or absence of the fall or the number of drops may be stored in the memory.

  Further, it is also possible to perform a highly accurate measurement by causing a vibration other than an earthquake to be determined as an impact and removing noise from the acceleration data.

(Modification 6)
Next, a method for vector synthesis of acceleration data and the like will be described.

  FIG. 20 is a diagram illustrating a concept of a calculation process for calculating an SI value based on acceleration data of a plurality of axes as a comparative example.

  Referring to FIG. 20, here, a case is shown where the acceleration sensor detects the acceleration ax of the X-axis component and the acceleration ay of the Y-axis component when an earthquake motion occurs.

And the said acceleration data are acquired in a control part, and the calculation of SI value is performed.
Specifically, acceleration data in a predetermined direction is calculated by vector decomposition based on the acceleration ax of the X-axis component and the acceleration ay of the Y-axis component.

  In this example, the case where acceleration data in eight directions is calculated as a predetermined direction is shown.

FIG. 21 is a diagram for explaining an example of vector decomposition.
Referring to FIG. 21A, here, eight directions of accelerations a0 to a7 are shown as an example.

  The angles θ of the respective accelerations a0 to a7 are 90 °, 67.5 °, 45 °, 22.5 °, 0 °, 157.5 °, 135 °, and 112.5 °.

  FIG. 21B shows a case where vector decomposition is performed to an angle θ in an arbitrary direction based on the acceleration ax of the X-axis component and the acceleration ay of the Y-axis component.

Specifically, the acceleration aθ is represented by axcos θ + aysin θ.
Referring to FIG. 20 again, velocity values v (T1) to v (Tn) according to the natural period T are calculated based on the respective acceleration data for the eight directions of the vector-decomposed accelerations a0 to a7. Maximum speed values Sv (T1) to Sv (Tn) are calculated based on the calculated speed values v (T1) to v (Tn), and SI is calculated based on the maximum speed values Sv (T1) to Sv (Tn). The case where the value is calculated is shown.

Finally, the maximum SI value is calculated from the SI values in the respective directions (eight directions).
By this processing, it is possible to calculate SI values in arbitrary directions (eight directions in this example) and calculate SI values with high accuracy. In this example, the case of calculating SI values in eight directions is described as an example, but the accuracy can be further improved by calculating SI values in a plurality of directions.

In the sixth modification, a method for reducing the calculation load while maintaining accuracy will be described.
FIG. 22 is a diagram for explaining the concept of calculation processing for calculating SI values based on multi-axis acceleration data according to the sixth modification.

  Referring to FIG. 22, here, a case where an acceleration sensor detects an acceleration ax of an X-axis component and an acceleration ay of a Y-axis component when an earthquake motion occurs is shown.

And the said acceleration data are acquired in a control part, and the calculation of SI value is performed.
Specifically, velocity values v (T1) to v (Tn) according to the natural period T are calculated based on the acceleration ax of the X-axis component and the acceleration ay of the Y-axis component, respectively.

Then, the calculated X-axis component velocity value and Y-axis component velocity value are vector-synthesized.
Then, the maximum speed values Sv (T1) to Sv (Tn) are calculated based on the vector-combined speed values v (T1) to v (Tn), and the maximum speed values Sv (T1) to Sv (Tn) are calculated. The case where the SI value is calculated based on this is shown.

  By this processing, it is possible to calculate the magnitude of the velocity value for all directions by vector synthesis of the velocity value of the X-axis component and the velocity value of the Y-axis component. Then, the SI value can be calculated based on the vector-combined speed value, and the calculation load in the comparative example can be easily reduced while maintaining accuracy because it is intended for all directions. .

Next, a method for further simplifying the calculation load will be described.
FIG. 23 is a diagram for explaining the concept of calculation processing for calculating SI values based on acceleration data of a plurality of axes according to another example of the sixth modification.

  Referring to FIG. 23, here, a case is shown where the acceleration sensor detects the acceleration ax of the X-axis component and the acceleration ay of the Y-axis component when an earthquake motion occurs.

And the said acceleration data are acquired in a control part, and the calculation of SI value is performed.
Specifically, the acceleration ax of the X-axis component and the acceleration ay of the Y-axis component are acquired.

  Then, the acquired X-axis component acceleration ax and Y-axis component acceleration ay are vector-synthesized.

  Based on the vector-combined acceleration data, velocity values v (T1) to v (Tn) according to the natural period T are calculated.

  Then, maximum speed values Sv (T1) to Sv (Tn) are calculated based on the calculated speed values v (T1) to v (Tn), respectively, and based on the maximum speed values Sv (T1) to Sv (Tn). In this case, the SI value is calculated.

  With this processing, it is possible to calculate the magnitude of acceleration in all directions by vector synthesis of the acceleration of the X-axis component and the acceleration of the Y-axis component. Then, the SI value can be calculated based on the vector-combined acceleration, which can be further reduced than the calculation load in FIG.

  Then, the vector composition method can be adjusted according to the situation of the earthquake motion. In other words, it does not always apply the same computational load when earthquake motion is occurring, but it is a highly accurate measurement from when the earthquake motion occurs until a predetermined condition is satisfied (until it is detected that the ground vibration converges). When a predetermined condition is satisfied, it is possible to realize an operation with low power consumption by suppressing the calculation load.

  For example, when a predetermined condition is satisfied, the speed value described in FIG. 22 may be switched to a method of calculating the SI value by vector synthesis, or the acceleration described in FIG. It is possible to switch to a method for calculating a value.

  In this example, two axes of the X-axis and the Y-axis have been described as an example of a plurality of axes. However, the present invention is not limited to the two axes but can be similarly applied to three axes including the Z-axis.

  Note that the above-described method of vector composition of velocity values or accelerations does not necessarily need to be executed when a predetermined condition is satisfied, and when an earthquake motion is occurring, the SI value is calculated from the beginning according to the method. Anyway.

  The embodiment disclosed this time is an exemplification, and the present invention is not limited to the above contents. The scope of the present invention is defined by the terms of the claims, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  DESCRIPTION OF SYMBOLS 1 Vibration intensity measuring device, 2 Secondary battery, 4 Power supply part, 10 Sensor part, 12 Acceleration sensor, 14 Sensor I / F, 16, 34 Memory, 18 Sensor control part, 20, 50 Communication I / F, 30 Arithmetic processing Unit, 40 control unit, 42 SI value calculation unit, 44 maximum speed calculation unit, 46 speed calculation unit.

Claims (9)

A method for controlling a vibration intensity measuring device including an acceleration detector,
Obtaining acceleration data by the acceleration detector;
Calculating vibration intensity based on the acquired acceleration data,
At least one of the obtaining step and the calculating step includes
Determining whether vibration is in a convergence process based on vibration characteristics according to at least one of the acceleration data and the vibration intensity ;
If the vibration is judged to be in the convergence process, comprising the step of adjusting at least one of the calculation process in the step of acquiring process and the calculation at the step of the obtaining method of controlling a vibration intensity measuring device. The acceleration detection unit generates acceleration data according to a variable sampling interval,
The method of controlling a vibration intensity measuring apparatus according to claim 1, wherein the adjusting step sets the sampling interval longer when it is determined that the vibration is in a convergence process . The acceleration detector sequentially stores acceleration data in a memory,
The obtaining step collectively obtains acceleration data stored in the memory according to a variable communication interval,
The method of controlling a vibration intensity measuring apparatus according to claim 1, wherein the adjusting step sets the communication interval longer when it is determined that the vibration is in a convergence process . The step of calculating the vibration intensity includes:
Calculating a velocity value in each natural period based on the acquired acceleration data;
Calculating a maximum speed value based on the calculated speed value in each natural period,
2. The vibration intensity measuring device according to claim 1, wherein the adjusting step decreases the number of velocity values in each natural period when calculating the maximum velocity value when it is determined that the vibration is in a convergence process . Control method. The step of calculating the vibration intensity includes:
Calculating a velocity value based on the acquired acceleration data;
Calculating a maximum speed value based on the calculated speed value;
Calculating an index indicating the vibration intensity based on the maximum speed value,
2. The vibration intensity measuring device according to claim 1, wherein the adjusting step sets a long calculation interval of at least one of the velocity value and the index indicating the vibration intensity when it is determined that the vibration is in a convergence process . Control method. The step of calculating the vibration intensity includes:
Calculating a velocity value based on the acquired acceleration data;
Calculating a maximum speed value based on the calculated speed value;
Calculating an index indicating the vibration intensity based on the maximum speed value,
The method of controlling a vibration intensity measuring apparatus according to claim 1, wherein the adjusting step changes a maximum speed measurement interval that is a timing for resetting the maximum speed value when it is determined that the vibration is in a convergence process . The acceleration detection unit generates acceleration data for a plurality of axes,
The step of calculating the vibration intensity includes:
Calculating a velocity value based on the acquired acceleration data;
Calculating a maximum speed value based on the calculated speed value;
Calculating an index indicating the vibration intensity based on the maximum speed value,
The method of controlling a vibration intensity measuring apparatus according to claim 1, wherein the adjusting step synthesizes acceleration data for the plurality of axes with respect to the acquired acceleration data when it is determined that the vibration is in a convergence process . The acceleration detection unit generates acceleration data for a plurality of axes,
The step of calculating the vibration intensity includes:
Calculating a velocity value based on the acquired acceleration data;
Calculating a maximum speed value based on the calculated speed value;
Calculating an index indicating the vibration intensity based on the maximum speed value,
2. The vibration intensity according to claim 1, wherein the adjusting step synthesizes velocity values based on respective acceleration data for the plurality of axes in the step of calculating the velocity value when it is determined that the vibration is in a convergence process. Control method of measuring device. A vibration intensity measuring device including an acceleration detector,
A controller connected to the acceleration detector;
The controller is
Obtaining acceleration data by the acceleration detector;
Calculate vibration intensity based on the acquired acceleration data,
In at least one of an acquisition process for acquiring the acceleration data and a calculation process of the vibration intensity,
Determining whether vibration is in a convergence process based on vibration characteristics according to at least one of the acceleration data and the vibration intensity;
A vibration intensity measurement device that adjusts at least one of the acceleration data acquisition process and the vibration intensity calculation process when it is determined that the vibration is in a convergence process .

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